Tumor Site and Breast Cancer Prognosis

Carcinoma of the axillary tail of Spence: A rare case report

INTRODUCTION

Carcinoma arising from the axillary tail of Spence (CATS) is a rare entity that requires a high level of clinical suspicion. The clinicopathologic, prognostic, and imaging features of CATS are poorly understood.

CASE SUMMARY

A 46-year-old woman presented to our hospital with right axillary swelling associated with bleeding and foul-smelling discharge. She had initially presented to a different hospital with a similar presentation where she was diagnosed with metastatic carcinoma, favouring adenocarcinoma on the FNAC report, following which she received 3 cycles of chemotherapy. MRI and PET-CT scan workups at our hospital showed a soft tissue mass likely arising from the axillary tail of the right breast with a few enlarged axillary lymph nodes and an unremarkable right breast. She underwent excision of the mass with axillary lymph node dissection and reconstruction with a pedicled Latissimus dorsi flap. The final diagnosis was based on immunohistochemistry, with tumor cells positive for GATA3 and CK-7, negative for estrogen and progesterone receptors (ER, PR), positive for human epidermal growth factor receptor 2 (Her2 neu), and having a Ki-67 labelling index of 45 %.

DISCUSSION

Carcinoma of the axillary tail of Spence (CATS) has a reported incidence of 0.3 %. There have been only few papers till date that have reported the clinicopathologic, prognostic, and imaging features of CATS. MRI is an important imaging modality to localize CATS. Histologic examination aids in the diagnosis by identifying the presence of a histologic pattern of primary breast carcinoma and immunohistochemical characteristics such as ER, PR, Her2neu, and gross cystic disease fluid protein (GCDFP). Due to the rarity of CATS, no specific guidelines concerning management currently exist. Surgical management involves wide local excision of the axillary mass with axillary lymph node dissection.

CONCLUSION

CATS, even though rare, should be considered in the differential diagnosis of a patient presenting with an axillary mass. MRI is a valuable tool to distinguish CATS from other lesions. Immunohistochemistry is essential to confirm the diagnosis.

Prevalence and risk factors of bone metastasis and the development of bone metastatic prognostic classification system: a pan-cancer population study

BACKGROUND

The prevalence of bone metastasis (BM) varies among primary cancer patients, and it has a significant impact on prognosis. However, there is a lack of research in this area. This study aims to explore the clinical characteristics, prevalence, and risk factors, and to establish a prognostic classification system for pan-cancer patients with BM.

METHODS

The data obtained from the Surveillance, Epidemiology and End Results database were investigated. The prevalence and prognosis of patients with BM were analyzed. Hierarchical clustering was used to develop a prognostic classification system.

RESULTS

From 2010 to 2019, the prevalence of BM has increased by 41.43%. BM most commonly occurs in cancers that originate in the adrenal gland, lung and bronchus and overlapping lesion of digestive systems. Negative prognostic factors included older age, male sex, poorer grade, unmarried status, low income, non-metropolitan living, advanced tumor stages, previous chemotherapy, and synchronous liver, lung, and brain metastasis. Three categories with significantly different survival time were identified in the classification system.

CONCLUSIONS

The clinical features, prevalence, risk factors, and prognostic factors in pan-cancer patients with BM were investigated. A prognostic classification system was developed to provide survival information and aid physicians in selecting personalized treatment plans for patients with BM.

Clinical characteristics of breast cancer patients admitted to academic surgical wards in Tehran, Iran: an analytical cross-sectional study

BACKGROUND

Breast cancer (BC) is the most commonly diagnosed cancer and the leading cause of cancer death among women. Knowledge of the clinical characteristics of BC in a population may be informative for disease prediction or diagnosis and for developing screening and diagnostic guidelines. This study aimed to evaluate the clinical characteristics of female patients with BC who were admitted to academic surgical wards in Tehran, Iran.

METHODS

In this cross-sectional study, demographic information and clinical characteristics of Iranian females with BC who had undergone breast surgery from 2017-2021 in four academic Breast Surgery Units were extracted from medical files and recorded via a pre-designed checklist.

RESULTS

A total of 1476 patients with a mean age of 48.03 (± 11.46) years were enrolled. Among them, 10.4% were aged less than 35. In younger patients, Triple-negative and Her2-enriched subtypes of BC were significantly higher compared to older ones. Overall, 85.7% of tumors were invasive ductal carcinoma, 43.3% were grade 2, 41.4% were located in the UOQ, and 65.2% had presented with mass palpation. The mean pathologic tumor size was 28.94 mm, and the most common subtype was luminal B.

CONCLUSIONS

Many characteristics of breast cancer in this study were similar to other countries and previous studies in Iran. However, a higher proportion of young BC compared with Western countries, and even with older studies in Iran, suggest a trend toward lower age for BC in recent years. These results indicate the need for preventive measures and screening in Iranian women at a younger age.

A retrospective study in tumour characteristics and clinical outcomes of overweight and obese women with breast cancer

INTRODUCTION

Obesity and breast cancer are two major pathologies closely associated with increasing incidence and mortality rates, especially amongst women. The association between both diseases have been thoroughly discussed but much is still to uncover.

AIM

The aim of this study is to analyse tumour characteristics and clinical outcomes of overweight and obese women to disclosure potential associations and better understand the impact of obesity in breast cancer.

MATERIALS AND METHODS

Clinicopathological information of 2246 women were extracted from the institutional database of comprehensive cancer centre in Portugal diagnosed between 2012 and 2016. Women were stratified according to body mass index as normal, overweight, and obese. Patients' demographic information and tumour features (age, family history, topographic localization, laterality, histological type, and receptor status) were taken as independent variables and overall survival, tumour stage, differentiation grade and bilaterality were considered clinical outcomes.

RESULTS

The main results reveal that overweight and obesity are predominantly associated with worse outcomes in breast cancer patients. Obese patients present larger (p-value: 0.002; OR 1.422; 95% CI 1.134-1.783) and more poorly differentiated tumours (p-value: 0.002; OR 1.480; 95% CI 1.154-1.898) and tend to have lower overall survival although without statistical significance (p-value: 0.117; OR 1.309; 95% CI 0.934-1.833). Overweighted women are more likely to have bilateral breast cancer (p-value: 0.017; OR 3.076; 95% CI 1.225-7.722) than obese women. The results also reveal that overweight women present less distant metastasis (p-value: 0.024; OR 0.525; 95%CI 0.299-0.920). Topographic localization and laterality did not achieve statistical significance.

Ultrasonography and clinicopathological features of breast cancer in predicting axillary lymph node metastases

Background

Early identification of axillary lymph node metastasis (ALNM) in breast cancer (BC) is still a clinical difficulty. There is still no good method to replace sentinel lymph node biopsy (SLNB). The purpose of our study was to develop and validate a nomogram to predict the probability of ALNM preoperatively based on ultrasonography (US) and clinicopathological features of primary tumors.

Methods

From September 2019 to April 2022, the preoperative US) and clinicopathological data of 1076 T1-T2 BC patients underwent surgical treatment were collected. Patients were divided into a training set (875 patients from September 2019 to October 2021) and a validation set (201 patients from November 2021 to April 2022). Patients were divided into positive and negative axillary lymph node (ALN) group according pathology of axillary surgery. Compared the US and clinicopathological features between the two groups. The risk factors for ALNM were determined using multivariate logistic regression analysis, and a nomogram was constructed. AUC and calibration were used to assess its performance.

Results

By univariate and multivariate logistic regression analysis, age (p = 0.009), histologic grades (p = 0.000), molecular subtypes (p = 0.000), tumor location (p = 0.000), maximum diameter (p = 0.000), spiculated margin (p = 0.000) and distance from the skin (p = 0.000) were independent risk factors of ALNM. Then a nomogram was developed. The model was good discriminating with an AUC of 0.705 and 0.745 for the training and validation set, respectively. And the calibration curves demonstrated high agreement. However, in further predicting a heavy nodal disease burden (> 2 nodes), none of the variables were significant.

Conclusion

This nomogram based on the US and clinicopathological data can predict the presence of ALNM good in T1-T2 BC patients. But it cannot effectively predict a heavy nodal disease burden (> 2 nodes).

Prognostic nomogram for female patients suffering from non-metastatic Her2 positive breast cancer: A SEER-based study

This paper aimed at constructing and validating a novel prognostic nomogram, so that physicians forecast the overall survival (OS) rates of female patients suffering from non-metastatic human epidermal growth element receptor-2 (HER2) positive breast. Information of primary female her2 positive breast cancer patients without metastasis was obtained from the Surveillance, Epidemiology, and End Results (SEER) database with given inclusion and exclusion standards. Independent variables were obtained greatly by performing univariable and multivariate analyses. Based on those independent predictors, a novel prognostic nomogram was constructed for predicting the survival of those with 3- and 5-year OS. Then, concordance index (C-index), receiver operating characteristic curve (ROC), and calibration plot were adopted for the assessment of the predictive power of the nomogram. A total of 36,083 eligible patients were classified into a training cohort (n = 25,259) and a verification cohort (n = 10,824) randomly. According to the identification of multivariate analysis, survival was predicted by age at diagnosis, marital status, race, site, T stage, N stage, progesterone receptor (PR) status, estrogen receptor (ER) status, surgery, radiation, and chemotherapy independently. A nomogram was established by applying the training cohort. The nomogram displayed excellent discrimination and performance as indicated by the C-index (0.764, 95% confidence interval: 0.756-0.772), and the 3- and 5-year area under the curve of ROC (AUC) values (0.760 and 0.692 respectively). The calibration plots for forecasting the 3- and 5-year OS were in great agreement. The OS for female her2 positive breast cancer patients without metastasis was predicted by constructing a nomogram on basis of the SEER database. A precise survival prediction could be offered for each patient.

Real-world outcomes for Chinese breast cancer patients with tumor location of central and nipple portion

Background

The association between tumor location and breast cancer prognosis has been controversial. We sought to explore the relationship between tumors located in central and nipple portion (TCNP) and Chinese breast cancer.

Patients and methods

A total of 1,427 breast cancer patients were recruited. There were 328 cases of TCNP and 1,099 cases of tumors in the breast peripheral quadrant (TBPQ). The chi-square test was used to compare different variables between TCNP and TBPQ groups. A one-to-one propensity score matching (PSM) was applied to construct a matched sample consisting of pairs of TCNP and TBPQ groups. Kaplan–Meier curves were used for survival analysis of disease-free survival (DFS), breast cancer-specific survival (BCSS) and overall survival (OS). The Cox proportional hazards regression model was applied to identify prognostic risk factors.

Results

The median follow-up time was 58 months. Compared to TBPQ, TCNP patients had significantly larger tumor size, more frequent metastasis to lymph nodes (LN) and more proportions of TNM stage II–III. DFS, OS and BCSS rates were markedly lower in the TCNP group as compared to the TBPQ group before and after PSM (all p < 0.05). Multivariate Cox analysis showed that TCNP was an independent prognostic factor for breast cancer. Subgroup analysis indicated that for breast molecular subtypes and TNM stage II-III breast cancer, TCNP were related to worse prognosis. Multivariate logistic regression revealed that TCNP was an independent contributing factor for LN metastasis.

Conclusion

In Chinese breast cancer, compared to TBPQ, TCNP is associated with more LN metastasis and poorer prognosis.

The nomograms for predicting overall and cancer-specific survival in elderly patients with early-stage lung cancer: A population-based study using SEER database

Purpose

Lung cancer is the leading cause of death from cancer and the number of operable elderly lung cancer patients is increasing, with advanced age being associated with a poorer prognosis. However, there is no easy and comprehensive prognostic assessment method for these patients.

Methods

Clinicopathological data of patients aged 65 years or older with TNM stage I-II lung cancer from 2004 to 2018 were downloaded from the SEER database. Patients from 2004 to 2015 were randomized into a training group (n = 16,457) and a validation group (n = 7,048). Data from 2016 to 2018 (n = 6,231) were used for external validation. Two nomogram prognostic models were created after independent prognostic factors connected to both overall survival (OS) and cancer-specific survival (CSS) in the training set by using univariate and multivariate Cox proportional hazards regression analysis. In turn, overall survival (OS) and cancer-specific survival (CSS) were predicted for patients at 1, 3, and 5 years. Based on the concordance index (C-index), calibration curves, area under the receiver operating characteristics (ROC) curve (AUC), the time-dependent area under the ROC curve, the validity, accuracy, discrimination, predictive ability, and clinical utility of the models were evaluated. Decision curve analysis (DCA) was used to assess the clinical value of the models.

Results

A total of 29,736 patients were included. Univariate and multivariate analyses suggested that age, race, gender, marriage, disease grade, AJCC stage, T-stage, surgery, radiotherapy, chemotherapy, and tumor size were independent risk factors for patient prognosis. These 11 variables were included in nomogram to predict OS and CSS of patients. C-indexes of OS for the training, validation and external validation sets were 0.730 (95% CI, 0.709-0.751), 0.734 (95% CI, 0.722-0.746), and 0.750 (95% CI, 0.734-0.766), respectively. The AUC results for the training and validation sets indicated good accuracy for this nomogram. The calibration curves demonstrated a high degree of concordance between actual and anticipated values, and the DCA demonstrated that the nomograms had better clinical application than the traditional TNM staging approach.

Conclusion

This study identified risk factors for survival in operable elderly lung cancer patients and established a new column line graph for predicting OS and CSS in these patients. The model has good clinical application and can be a good clinical decision-making tool for physicians and patients.

Carcinoma of the Axillary Tail of Spence: A Case Report with Imaging Findings

Carcinoma of the axillary tail of Spence is a rare type of breast cancer that develops at a specific anatomical position in the breast, with an incidence of approximately 0.3%. It should be differentiated from axillary soft tissue tumor, axillary ectopic breast cancer, and lymph node metastases of breast and other primary cancers. Here, we report a case of carcinoma of the axillary tail of Spence in a 47-year-old patient who visited our clinic with a lower axillary mass and was diagnosed based on mammography, US, CT, and MRI findings.

Axillary management for early invasive breast cancer patients: Who will truly benefit?

Background

The implementation of sentinel lymph node biopsy (SLNB) and further completion axillary lymph node dissection (cALND) after positive sentinel lymph nodes (SLNs) on early invasive breast cancer patients should be cautiously tailored. Identifying predictors for SLN and non-sentinel lymph node (nSLN) metastases can help surgeons make better surgical decisions.

Methods

A retrospective case-control study was designed and a total of 560 eligible patients were enrolled consecutively. They were all diagnosed in our center and received appropriate medical care. According to the metastasis of SLN and nSLN, they were divided into metastatic and non-metastatic groups on two successive occasions to investigate the relationship between clinical factors, pathological factors, hematological factors and lymph node metastasis.

Results

In total, 101 (18.04%) patients developed SLN metastases, including 98 patients with macro-metastases and 3 patients with micro-metastases. Out of 97 patients receiving further cALND, 20 patients (20.62%) developed nSLN metastases. Multivariate analysis revealed that “high expression of Ki-67” and “lymphatic invasion” predicted a higher risk of SLN metastasis; and “increased number of positive SLNs” and “increased systemic inflammation index (SII)” predicted a higher risk of nSLN metastasis.

Conclusion

Surgery for early invasive breast cancer patients should be more customized and precise. Appropriate axillary management is necessary for patients with the associated predictors.

Breast Reconstruction Does Not Affect the Survival of Patients with Breast Cancer Located in the Central and Nipple Portion: A Surveillance, Epidemiology, and End Results Database Analysis

Background

Tumors in the central and nipple portion (TCNP) are associated with poor prognosis and aggressive clinicopathological characteristics. The availability and safety of postmastectomy reconstruction in breast cancer patients with TCNP have still not been deeply explored. It is necessary to investigate whether reconstruction is appropriate for TCNP compared with non-reconstruction therapy in terms of survival outcomes.

Methods

Using the Surveillance, Epidemiology, and End Results (SEER) database, we enrolled TCNP patients diagnosed between the years 2010 and 2016. The propensity score matching (PSM) technique was applied to construct a matched sample consisting of pairs of non-reconstruction and reconstruction groups. Survival analysis was performed with the Kaplan–Meier method. Univariate and multivariate Cox proportional hazard models were applied to estimate the factors associated with breast cancer-specific survival (BCSS) and overall survival (OS).

Results

In the overall cohort, a total of 6,002 patients were enrolled. The patients in the reconstruction group showed significantly better BCSS (log-rank, p < 0.01) and OS (log-rank, p < 0.01) than those in the non-reconstruction group (832 patients) after PSM. However, the multivariate Cox regression model revealed that breast reconstruction was not associated with worse BCSS and OS of TCNP patients.

Conclusion

Our study provided a new perspective showing that breast reconstruction did not affect the survival and disease prognosis in the cohort of TCNP patients from SEER databases, compared with non-reconstruction. This finding provides further survival evidence supporting the practice of postmastectomy reconstruction for suitable TCNP patients, especially those with a strong willingness for breast reconstruction.

De novo metastatic lobular breast carcinoma: A population-based study from SEER database

PURPOSE

Patients with metastatic lobular breast carcinoma constitute a heterogeneous group with distinguishing features. Our aim was to describe the features and survival of them, and further subdivide them into subcategories for prognostic stratification and treatment planning.

PATIENTS AND METHODS

Patients with de novo metastatic breast cancer from 2010 to 2018 were identified using the SEER database. Multivariate logistic regression analysis was conducted to calculate odds ratios. The within-pair difference was minimized by propensity score matching. Multiple comparisons based on Cox proportional hazards model were performed to investigate the interactions of M1 subcategory and treatment modality on survival.

RESULTS

A total of 1,675 patients with de novo metastatic lobular breast carcinoma were identified, they were more likely to have HR+/HER2- subtype, low histologic grade, low T/N stage, fewer metastatic sites, but worse prognosis compared with patients with metastatic ductular breast carcinoma. The M1 stage was subdivided into 3 subcategories with significantly different prognoses. The benefits of primary tumor surgery were more pronounced in M1a/b disease, whereas the benefits of chemotherapy increased with the progression of metastatic disease.

CONCLUSION

Patients with metastatic lobular breast carcinoma have unique clinicopathological characteristics and metastatic patterns. M1 subcategory assists prognosis stratification and treatment planning for such patients.

Development and validation of prognostic nomogram for lung cancer patients below the age of 45 years

This study aimed to establish a nomogram for the prognostic prediction of patients with early-onset lung cancer (EOLC) in both overall survival (OS) and cancer-specific survival (CSS). EOLC patients diagnosed between 2004 and 2015 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and further divided into training and validation sets randomly. The prognostic nomobgram for predicting 3-, 5- and 10-years OS and CSS was established based on the relative clinical variables determined by the multivariate Cox analysis results. Furthermore, the predictive performance of nomogram was assessed by concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) curve. A total of 1,822 EOLC patients were selected and randomized into a training cohort (1,275, 70%) and a validation cohort (547, 30%). The nomograms were established based on the statistical results of Cox analysis. In training set, the C-indexes for OS and CSS prediction were 0.797 (95% confidence interval [CI]: 0.773-0.818) and 0.794 (95% CI: 0.771-0.816). Significant agreement in the calibration curves was noticed in the nomogram models. The results of ROC and DCA indicated nomograms possessed better predict performance compared with TNM-stage and SEER-stage. And the area under the curve (AUC) of the nomogram for OS and CSS prediction in ROC analysis were 0.766 (95% CI: 0.745-0.787) and 0.782 (95% CI: 0.760-0.804) respectively. The prognostic nomogram provided an accurate prediction of 3-, 5-, and 10-year OS and CSS of EOLC patients which contributed clinicians to optimize individualized treatment plans.

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Background

Lymph node status is an important factor in determining the prognosis of early-stage breast cancer. We endeavored to build and validate a simple nomogram to predict lymph node metastasis (LNM) in patients with early-stage breast cancer.

Methods

Patients with T1-2 and non-metastasis (M0) breast cancer registered in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. All patients were divided into primary cohort and validation cohort in a 2:1 ratio. In order to assess risk factors for LNM, we performed univariate and multivariate binary logistic regression, and based on results of multivariable analysis, we built the predictive nomogram model. The C-index, receiver operating characteristic (ROC) and calibration plots were applied to assess LNM model performance. Moreover, the nomogram efficiency was further validated through the validation cohort, part of which was from the First Affiliated Hospital of Nanjing Medical University database.

Results

Totally, 184,531 female breast cancer with T1-2 tumor size from SEER database and 1,222 patients from the Chinese institutional data were included. There were 123,019 patients in the primary cohort and 62,734 patients in validation cohort. The LNM nomogram was composed of seven features including age at diagnosis, race, primary site, histologic type, grade, tumor size and subtype. The model showed good discrimination, with a C-index of 0.720 [95% confidence interval (CI): 0.717-0.723] and good calibration. Similar C-index was 0.718 (95% CI: 0.713-0.723) in validation cohort. Consistently, ROC curves presented good discrimination in the primary cohort [area under the curve (AUC) =0.720] and the validation set (AUC =0.718) for the LNM nomogram. Calibration curve of the nomogram demonstrated good agreement.

Conclusions

With the prediction of novel validated nomogram for women with early-stage breast cancer, doctors may distinguish patients with high possibility of LNM and devise individualize treatments.

Establishment and Validation of Novel Clinical Prognosis Nomograms for Luminal A Breast Cancer Patients with Bone Metastasis

PURPOSE

Overall survival (OS) and cancer-specific survival (CSS) of luminal A breast cancer (BC) patients with bone metastasis remain poor and vary dramatically from person to person. Our goal was to build two universally applicable nomograms to accurately predict OS and CSS for luminal A patients with bone metastasis.

METHODS

The data were collected from the Surveillance, Epidemiology, and End Results (SEER) database for luminal A BC patients with bone metastasis between 2010 and 2015. Univariate and multivariate Cox regression analyses were to assess and identify independent risk factors of OS and CSS. Integrating all significant predictors, nomograms and risk group stratification model was developed. The performance of the nomogram was validated with concordance index (C-index), calibration plots, and decision curve analyses (DCA) for discriminative ability, calibration, and clinical utility, respectively.

RESULTS

3171 luminal A BC patients with bone metastasis were included. Through univariate and multivariate Cox regression analyses, 12 variables were identified as both independent OS- and CSS-related factors, including age, race, primary site, histology grade, tumor size, surgery, brain metastasis, liver metastasis, lung metastasis, estrogen receptor status, progesterone receptor status, and insurance. Our nomograms for 1-, 3-, and 5-year survival were based on those significant prognostic factors to develop. The C-indexes of OS- and CSS-nomograms in the training cohort were 0.701 and 0.704, respectively. Similar results were obtained in the validation cohort. The calibration curves and DCA presented satisfactory calibration and clinical utility.

CONCLUSION

Two nomograms have good discrimination, calibration, and clinical utility, can accurately and effectively predict the prognosis of patients, and may benefit for clinical decision-making. In high-risk patients, more aggressive therapy and closer surveillance should be considered.

[Pathology of the nipple-areola complex : Part II. Tumors, tumor-like lesions, and supernumerary breast lesions]

The nipple-areola complex is the origin of various morphologically distinct tumors and tumor-like lesions, which can be delineated from the special structures of the nipple, in particular the intramammary ducts, skin-appendages, and the intramammary stroma. Benign tumors are most frequent and this includes epithelial tumors such as mammary adenoma and syringomatous tumor of the nipple. Less commonly observed are benign mesenchymal tumors such as leiomyoma of the nipple, or tumor-like lesions like pseudo-lymphoma. With excess formations of the nipple, the different forms of polythelia and polymastia have to be considered.

Predicting the Survival of Triple-Negative Breast Cancer in Different Stages: A SEER Population Based Research Referring to Clinicopathological Factors

To evaluate prognosis of breast cancer patients, a total of 16,618 TNBC patients from SEER database were involved. High grade, unmarried status, tumor site were the main factors reduced OS in stage I. Black race, unmarried, large tumor size, and nodes metastasis would make worse prognosis in stage II. Compared with stage II, race and marital status had no significant effect on the prognosis in stage III. In stage IV, married status significantly improved the OS and DSS. Surgery and chemotherapy improve survival time in all of stages. Clinicopathological status correlated with the prognosis of patients with differentially staged TNBC.

Association between body mass index and localization of breast cancer: results from a nationwide inpatient database in Japan

PURPOSE

Although both localization of breast cancer and body mass index (BMI) are associated with prognosis, the association between localization of breast cancer and BMI remains unclear. This study aimed to investigate the association between localization of breast cancer and BMI at diagnosis.

METHODS

Patients who underwent surgery for stage 0-III breast cancer July 2010-March 2017 were identified retrospectively in a Japanese nationwide inpatient database. Multinomial logistic regression analyses adjusting for patient's age were conducted to compare the outcomes among five BMI groups: < 18.5 kg/m² (n = 31,724; 9.3%), 18.5-24.9 kg/m² (n = 218,244; 64.3%), 25.0-29.9 kg/m² (n = 69,813; 20.6%), 30.0-34.9 kg/m² (n = 16,052; 4.7%), and ≥ 35.0 kg/m² (n = 3716; 1.1%). The outcomes were the quadrant and side of the breast where tumors were detected.

RESULTS

In total, about half of the patients had breast cancer in the upper-outer quadrant (49.7%) and in the left breast (51.1%). In the multinomial analysis, BMI ≥ 25.0 kg/m² was associated with the occurrence of breast cancer in the upper-inner and lower-outer quadrants and in the central area, whereas BMI < 18.5 kg/m² was associated with the occurrence of breast cancer in the central area only. The side of breast cancer did not differ significantly among the five BMI groups.

CONCLUSIONS

Localization of breast cancer was associated with BMI in this large nationwide cohort. The findings may benefit patients' self-checks and doctors' examinations, potentially resulting in early detection and treatment.

Breast cancer in women: a descriptive analysis of the national cancer database

Background and aim of the work:

Breast cancer is the most common cancer in women in the United States. National Cancer Database (NCDB) is one of the largest tumor databases of the United States. This study aimed to evaluate the features of breast cancer in women from a large updated database.

Methods:

We describe and analyze the frequencies and percentages of the clinical and pathological features of women diagnosed with breast cancer registered in NCDB, in a period from 2004 to 2015.

Results:

A total of 2,423,875 women were diagnosed with breast cancer between 2004 and 2015. The nationally representative analysis demonstrated that the incidence of breast cancer among women increased over the years. Upper-outer quadrant was the most frequent primary tumor site, and the intraductal carcinoma was the most frequent histology. The prevalence of breast cancer increased with age. The most frequent grade at diagnosis was grade II. Broadly, invasive characteristics were noted more frequently in younger patients. Left and right breast were affected with almost the same frequency, with a slight predominance of the left breast. The most frequent surgical treatment was a partial mastectomy. Reconstruction with implant was the most frequent choice. Post-mastectomy radiation therapy was administered in the majority of patients.

Conclusions:

To the authors’ knowledge, the current study is the largest descriptive analysis to date on the clinical and pathological features of breast cancer in a population-based database. The increase in incidence over the years indicates an important need for etiologic research and innovative approaches to improve breast cancer prevention. (www.actabiomedica.it)

Survival and Disease Recurrence Rates among Breast Cancer Patients following Mastectomy with or without Breast Reconstruction

BACKGROUND

Concerns have been expressed about the oncologic safety of breast reconstruction following mastectomy for breast cancer. This study aimed to evaluate the association of breast reconstruction with breast cancer recurrence, and 5-year survival among breast cancer patients.

METHODS

The authors analyzed data from The Johns Hopkins Hospital comprehensive cancer registry, comparing mastectomy-only to postmastectomy breast reconstruction in breast cancer patients to evaluate differences in breast cancer recurrence and 5-year survival. Kaplan-Meier curves were used to compare unadjusted estimates of survival or disease recurrence. Data were modeled through Cox proportional hazards regression, using as outcomes time to death from any cause or time to cancer recurrence.

RESULTS

The authors analyzed data on 1517 women who underwent mastectomy for breast cancer at The Johns Hopkins hospital between 2003 and 2015. Of these, 504 (33.2 percent) underwent mastectomy only and 1013 (66.8 percent) underwent mastectomy plus immediate breast reconstruction. Women were followed up for a median of 5.1 years after diagnosis. There were 132 deaths and 100 breast cancer recurrences. A comparison of Kaplan-Meier survival estimates demonstrated a survival benefit among patients undergoing mastectomy plus reconstruction. After adjusting for various clinical and socioeconomic variables, there was still an overall survival benefit associated with breast reconstruction which, however, was not statistically significant (hazard ratio, 0.78; 95 percent CI, 0.53 to 1.13). Patients who underwent reconstruction had a similar rate of recurrence compared to mastectomy-only patients (hazard ratio, 1.08; 95 percent CI, 0.69 to 1.69).

CONCLUSION

This study suggests that breast reconstruction does not have a negative impact on either overall survival or breast cancer recurrence rates.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Do breast quadrants explain racial disparities in breast cancer outcomes?

PURPOSE

Tumors of the inner quadrants of the breast are associated with poorer survival than those of the upper-outer quadrant. It is unknown whether racial differences in breast cancer outcomes are modified by breast quadrant, in addition to comparisons among Asian subgroups.

METHODS

Using the Surveillance, Epidemiology, and End Results database, we analyzed data among women diagnosed with non-metastatic invasive breast cancer between 1990 and 2014. We performed Cox proportional hazards regression models to assess the associations of race with breast cancer-specific survival and overall survival, stratified by breast quadrants. The models were adjusted for age, year of the diagnosis, tumor size, grade, histological type, tumor laterality, lymph node, estrogen receptor, progesterone receptor, and treatments.

RESULTS

Among 454,154 patients (73.0% White, 10.0% Black, 7.8% Asian/PI, and 9.2% Hispanic), 54.3% had tumors diagnosed in the upper-outer quadrant of the breast. Asian/PI women were more likely than White to have tumors diagnosed in the nipple/central portion of the breast and were less likely to have diagnosed in the upper-outer quadrant (P < 0.001), despite a similar distribution of breast quadrant between Black, Hispanic, and White women. Compared with White women, the multivariable-adjusted hazard ratios of breast cancer-specific mortality were 1.41 (95% CI 1.37-1.44) in Black women, 0.82 (95% CI 0.79-0.85) in Asian women, and 1.05 (95% CI 1.02-1.09) in Hispanic women. Among Asian subgroups, Japanese American women had a lower risk of breast cancer-specific mortality (HR = 0.68, 95% CI 0.62-0.74) compared with White women. Overall survival was similar to breast cancer-specific survival in each race group. The race-associated risks did not vary significantly by breast quadrants for breast cancer-specific mortality and all-cause mortality.

CONCLUSIONS

Differences in breast cancer survival by race could not be attributed to tumor locations. Understanding the cultural, biological, and lifestyle factors that vary between White, African American, and ethnic subgroups of Asian American women may help explain these survival differences.